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政大機構典藏 > 理學院 > 應用數學系 > 學位論文 > Item 140.119/88732

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/88732

Title:	動態遞迴式神經網路之研究 Research on Dynamic Recurrent Neural Network
Authors:	林明璋 Lin, Ming Jang
Contributors:	蔡隆義 Tsai, Long Yi 林明璋 Lin, Ming Jang
Keywords:	遞迴式神經網路遞迴式倒傳遞法自伴方程式強制教授法可調式時間遲延法 Recurrent neural networks Recurrent Back-Propagation Adjoint Equation Teacher Forcing Adaptive Time Delay
Date:	1994
Issue Date:	2016-04-29 16:32:12 (UTC+8)
Abstract:	此篇論文，主要是討論遞迴式神經網路。在文中，我們將架構一個單層的神經網路結構。並利用三種不同的學習法則來套用此架構。我們也做了圓軌跡和圖形８的模擬，以及討論了此架構的收斂性。　　Our task in this paper is to discuss the Recurrent Neural Network. We construct a singal layer neural network and apply three different learning rules to simulate circular trajectory and figure eight. Also, we present the proof of convergence.
Description:	碩士國立政治大學應用數學系 81155003
Source URI:	http://thesis.lib.nccu.edu.tw/record/#B2002003900
Data Type:	thesis
Appears in Collections:	[應用數學系] 學位論文

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